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Rosslyn Analytics Introduces Analytics as a Service on Microsoft Azure


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Rosslyn Analytics, a provider of big data cloud technology, has announced it is one of the first to offer companies analytics as a service on Azure. 

“Traditional data warehousing has failed to keep pace with the ever changing information needs of the business,” said Charles Clark, CEO of Rosslyn Analytics. “Rosslyn Analytics has addressed the greatest data challenge facing all organizations, which is delivering relevant and high quality data to decision-makers." 

Rosslyn Analytics has developed a big data cloud analytics platform, powered by Azure, which provides self-service management from source to analytics and enables business and IT users to interact with, change, and analyze data using a combination of self-service data integration, cleansing and enrichment tools and machine learning and visualization technologies. 

According to Rosslyn, its RAPid Big Data Cloud Analytics Platform is further enhanced by leveraging data services and applications available on the Azure Marketplace, including Hadoop Insights, Python and R without ever having to buy or code software.  

RAPid provides a massively scalable data storage, processing and analytics platform, supported by SQL and Hadoop, designed for business users to search for and create new sources of information and views based on any available data, structured and un-structured, including knowledge from internal and external stakeholders, and for    IT teams to quickly develop, test and deliver new analytical apps using quality and relevant data enhanced by business users on the fly.

This dual approach is possible, the company says, because RAPid has been built on advanced architecture including a personalized data warehouse in the cloud with write-back capability. This patent-pending innovation dramatically improves the performance and speed of data transformation and management for and by business users.

 

For more information is available about the RAPid Big Data Cloud Analytics Platform.


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